Senior Scientist, Data Science

pAt Johnson Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.
Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity.
Learn more at jnj.com /p pAs guided by Our Credo, Johnson Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson Johnson, we respect the diversity and dignity of our employees and recognize their merit. /p h3Job Function: /h3 pData Analytics Computational Sciences /p h3Job Sub Function: /h3 pData Science /p h3Job Category: /h3 pScientific/Technology /p h3All Job Posting Locations: /h3 pMadrid, Spain, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America, Turnhout, Antwerp, Belgium /p h3Job Description: /h3 h3POSITION SUMMARY /h3 pThe RD Data, Data Science AI (DDSAI) organization is seeking a Senior Scientist, Data Science to serve as a hands-on technical individual contributor who builds, tests, validates, and refines applied AI/ML and statistical models that support Therapeutics Development Supply (TDS). /p pThis individual contributor will partner with Process Development, CMC, Clinical Supply, Manufacturing, Quality, Regulatory, and Digital/Data Science teams to deliver practical, high-impact data science and machine learning models that support core TDS responsibilities across CMC development, pharmaceutical product development, dossier preparation, technical development, and clinical supply. The ideal candidate brings strong quantitative depth, a background in CMC development, fluency with data science tooling, and a proven record of delivering analytical solutions with real-world impact. /p h3KEY RESPONSIBILITIES /h3 h3Applied AI/ML Model Development /h3 ul lipBuild, test, validate, and iterate on AI/ML models for TDS use cases under the guidance of senior data scientists and the AI Solutions Director. /p /li lipTranslate complex scientific and business questions into tractable modeling problems, selecting fit-for-purpose methods based on the data, decision context, assumptions, and expected business impact. /p /li lipConduct exploratory data analysis, feature engineering, model selection, hyperparameter tuning, and performance evaluation. /p /li /ul h3Technical Delivery Software Development Discipline /h3 ul lipDevelop clean, well-documented analytical code using Python and modern data science tooling, including cloud-based services /p /li lipFollow software engineering best practices: version control, testing, documentation, reproducibility, and code review. /p /li lipUse modern development environments, including AI-assisted coding tools where appropriate, to accelerate delivery while maintaining quality, transparency, and maintainability. /p /li /ul h3Cross-Functional Collaboration /h3 ul lipWork with TDS domain experts (scientists, engineers, quality professionals) to understand data, context, and requirements and design ML/AI solutions based on those requirements /p /li lipSupport multiple concurrent projects, managing tasks and communicating progress to the team lead. /p /li lipParticipate in team technical reviews, cross-functional capability groups, and capability-building activities. /p /li /ul h3QUALIFICATIONS /h3 h3Required /h3 ul liAdvanced degree in Data Science, Statistics, Computer Science, Engineering, Chemistry, Physics, or a related quantitative discipline. /li lib1–3 years /b of relevant experience in applied data science, machine learning, or statistical modeling (including graduate research). /li liProficiency in Python and common data science libraries (scikit-learn, pandas, numpy, PyTorch, TensorFlow). /li liStrong analytical and problem-solving skills. /li liGood communication skills and ability to work collaboratively in cross-functional teams. /li /ul h3Preferred /h3 ul lipPh.
D. in Mathematics, Statistics, Engineering, Chemical Engineering, Computer Science, Data Science, Operations Research, Chemistry, Physics, Pharmaceutical Sciences, or another related quantitative or scientific discipline. /p /li lipExperience with pharmaceutical, bioprocess, manufacturing, or healthcare data. /p /li lipFamiliarity with experimental design, Bayesian methods, or scientific computing. /p /li lipExposure to developing and/or deploying agent-based AI solutions /p /li lipExposure to cloud-based data science environments (AWS, Snowflake). /p /li /ul h3Why This Role Is Unique /h3 pThis is a rare opportunity to grow in one of the world’s most ambitious and fast-growing RD Data Science organizations, shaping how applied AI/ML and advance